Journal
NATURE REVIEWS CANCER
Volume 21, Issue 10, Pages 619-637Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41568-021-00377-7
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Funding
- Cancer Research UK (CRUK) Advanced Clinician Scientist Award [C60100/A23916]
- Dr. Josef Steiner Cancer Research Award 2019
- Medical Research Council (MRC)
- CRUK Pioneer Award
- Wellcome Strategic Award [WT101126]
- Basser Gray Prime Award 2020
- National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre [BRC-1215-20014]
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Whole-genome sequencing has enabled the identification of mutational signatures in cancer, shedding light on the causes of individual cancers. Progress has been made in computational, experimental, and clinical directions, but caution is advised in utilizing mutational signature frameworks. Recent developments in the field provide insights into practical issues and challenges in mutational signature analysis for potential clinical applications.
Whole-genome sequencing has brought the cancer genomics community into new territory. Thanks to the sheer power provided by the thousands of mutations present in each patient's cancer, we have been able to discern generic patterns of mutations, termed 'mutational signatures', that arise during tumorigenesis. These mutational signatures provide new insights into the causes of individual cancers, revealing both endogenous and exogenous factors that have influenced cancer development. This Review brings readers up to date in a field that is expanding in computational, experimental and clinical directions. We focus on recent conceptual advances, underscoring some of the caveats associated with using the mutational signature frameworks and highlighting the latest experimental insights. We conclude by bringing attention to areas that are likely to see advancements in clinical applications. Mutational signatures can provide insights into the origins and vulnerabilities of specific cancers, and have potential for clinical utility. This Review highlights recent developments in the field, providing insights into practical issues and challenges in mutational signature analysis.
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